Chapter # 06
Naive Bayes Theorem & Support Vector Machine (SVM)

Introduction

Naive Bayes Theorem

What is Naive Bayes Algorithm?

Naive Bayes Theorem (Cont’d)

Naive Bayes Theorem (Cont’d)

Naive Bayes Theorem (Cont’d)

Naive Bayes Theorem (Cont’d)

Strengths and Weankesses of Naive Bayes

Strengths and Weankesses of Naive Bayes (Cont’d)

Support Vector Machines (SVM)

Support Vector Machines (SVM) (Cont’d)

Support Vector Machines (SVM) (Cont’d)

Support Vector Machines (SVM) (Cont’d)

What If the Classes are Not Fully Separable?

SVM for Non-linearly Separable Data

SVM for Non-linearly Separable Data (Cont’d)

Hyperparameters of SVM Algorithm

Hyperparameters of SVM Algorithm (Cont’d)

Hyperparameters of SVM Algorithm (Cont’d)

More than Two (02) Classes

More than Two (02) Classes (Cont’d)

More than Two (02) Classes (Cont’d)

More than Two (02) Classes (Cont’d)

Strengths and Weakness of SVM

Questions or Queries

Questions

Queries